OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Anamul Haque, Doug Stubbs, Nina Hubig, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Anamul Haque, Doug Stubbs, Nina Hubig, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
Wojciech Nazar, Stanisław Szymanowicz, Krzysztof Nazar, et al.
Heart Failure Reviews (2023) Vol. 29, Iss. 1, pp. 133-150
Open Access | Times Cited: 9
Wojciech Nazar, Stanisław Szymanowicz, Krzysztof Nazar, et al.
Heart Failure Reviews (2023) Vol. 29, Iss. 1, pp. 133-150
Open Access | Times Cited: 9
Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery
Frederick Lang, Benjamin C. Lee, Dor Lotan, et al.
Methodist DeBakey Cardiovascular Journal (2024) Vol. 20, Iss. 4, pp. 76-87
Open Access
Frederick Lang, Benjamin C. Lee, Dor Lotan, et al.
Methodist DeBakey Cardiovascular Journal (2024) Vol. 20, Iss. 4, pp. 76-87
Open Access
Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy
Tatiana Nesterova, Vasily Kabak, Д. С. Лебедев, et al.
Russian Journal of Cardiology (2024) Vol. 29, Iss. 4S, pp. 6194-6194
Open Access
Tatiana Nesterova, Vasily Kabak, Д. С. Лебедев, et al.
Russian Journal of Cardiology (2024) Vol. 29, Iss. 4S, pp. 6194-6194
Open Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
Updated insights into predictive biomarkers for response to cardiac resynchronization therapy - A literature review
Krisztina Pál, Ionela M. Cotoi, Georgiana G. Vlad, et al.
Revista română de medicină de laborator (2023) Vol. 31, Iss. 4, pp. 225-240
Open Access
Krisztina Pál, Ionela M. Cotoi, Georgiana G. Vlad, et al.
Revista română de medicină de laborator (2023) Vol. 31, Iss. 4, pp. 225-240
Open Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
